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Extract full sparse rows across time.

Source: R/all_generic.R, R/sparse_neurovec.R
temporal_access-methods.Rd

This function extracts one or more rows from the sparse time-by-voxel backing representation used by sparse neuroimaging vectors. It complements matricized_access(), which is the column-oriented accessor.

Usage

temporal_access(x, i, ...)

# S4 method for class 'SparseNeuroVec,integer'
temporal_access(x, i)

# S4 method for class 'SparseNeuroVec,numeric'
temporal_access(x, i)

# S4 method for class 'BigNeuroVec,integer'
temporal_access(x, i)

# S4 method for class 'BigNeuroVec,numeric'
temporal_access(x, i)

Arguments

x

a data source, typically a SparseNeuroVec object containing 4D neuroimaging data

i

a numeric vector of temporal indices to extract

...

additional arguments to be passed to methods.

Value

A matrix with one row per requested time index and one column per sparse voxel in the backing representation.